Data Scientist, Dataiku

East

$130-155k

+ Stock Options

SQL

JavaScript

Python

Hadoop

Junior and Mid level

New York

Remote from US

Dataiku is The Universal AI Platform™

Job no longer available

Dataiku is The Universal AI Platform™

1001+ employees

B2BArtificial IntelligenceEnterpriseAnalyticsMachine LearningSaaSData Analysis

Job no longer available

$130-155k

+ Stock Options

SQL

JavaScript

Python

Hadoop

Junior and Mid level

New York

Remote from US

1001+ employees

B2BArtificial IntelligenceEnterpriseAnalyticsMachine LearningSaaSData Analysis

Company mission

Dataiku is The Universal AI Platform™, giving organizations control over their AI talent, processes, and technologies to unleash the creation of analytics, models, and agents. Providing no-, low-, and full-code capabilities, Dataiku meets teams where they are today, allowing them to begin building with AI using their existing skills and knowledge.

Job

Company

Role

Who you are

An ideal candidate is excited to learn complex new technologies and modeling techniques while being able to explain their work to other data scientists and clients
Co-develop production-level data science projects with our customers
Analyze and investigate various kinds of data and machine learning applications across industries and use cases
Help users discover and master the Dataiku platform, via user training, office hours, and ongoing consultative support
Provide data science expertise both to customers and internally to Dataiku’s sales and marketing teams
Develop custom Python or R-based “plugins” in collaboration with Solutions, R&D, and Product teams, to enhance Dataiku’s functionality
Curiosity and a desire to learn new topics and skills
Empathy for others and an eagerness to share your knowledge and expertise with your colleagues, Dataiku’s customers, and the general public
The ability to clearly explain complex topics to technical as well as non-technical audiences
1– 4 years’ of experience with ML tools (e.g., Python, R)
1 – 4 years’ of experience building models
Familiarity with data visualization in python, R
Understanding of underlying data systems such as Cloud architectures, Hadoop, or SQL
Location: Must be currently located on on the East Coast or Central region of US

Desirable

Experience with Consulting and/or Customer-facing Data Science roles
Experience with Data Engineering or MLOps
Experience developing WebApps in Javascript, RShiny, or Dash
Experience building APIs
Experience using enterprise data science tools
Passion for teaching or public speaking

What the job involves

The role of a Data Scientist at Dataiku is quite unique
Our Data Scientists not only code up solutions to real-world problems, but also participate in client-facing endeavors throughout the customer journey
This includes supporting their discovery of the platform, helping integrate Dataiku with other tools and technologies, some user training, and co-developing data science projects from design to deployment
Our Data Scientists work on the Dataiku platform every day
Aside from the visual tools, our team uses mostly python, with occasional work in other languages (e.g. , R, SQL, pyspark, JavaScript, etc.)

Our take

Dataiku was founded on the principle that companies must use data to continuously innovate to succeed in a rapidly evolving ecosystem. As a centralised data platform, Dataiku guides businesses from analytics at scale to enterprise AI. It provides a common ground for data experts and explorers, offering best practices, shortcuts to AI deployment, and a controlled environment.

Customers like Unilever, GE, and Comcast use Dataiku to accelerate growth and innovation by removing roadblocks and enabling faster, smarter work. Despite substantial funding in 2023, Dataiku faced a 20% lower valuation than in 2021, indicating challenges even for successful tech firms. Nonetheless, Dataiku launched its Dataiku 11 platform in 2022, continuing to enhance its offerings.

In 2024, Dataiku announced a strategic alliance with Teragonia, a leading provider of AI solutions for private equity portfolio value creation. This collaboration leverages Dataiku's AI capabilities to enhance Teragonia's real-time analytics and strategic agility, aiming to accelerate revenue growth and profitability for clients. This partnership reflects Teragonia's trust in Dataiku's technology and underscores the platform's ability to democratise data and empower private equity firms to unlock significant value.

Steph

Company Specialist at Welcome to the Jungle

Insights

Top investors

39% female employees

9% employee growth in 12 months

Glassdoor (3.6)

Company

Funding (last 2 of 8 rounds)

Dec 2022

$200m

SERIES F

Aug 2021

$400m

SERIES E

Total funding: $847.3m

Company benefits

Our flexibility benefits include: ➔ Time off for R&R & Wedding time off ➔ Public holidays specific to your location ➔ For most teams, a hybrid work policy, which allows each Dataiker to spend as few as one and as many as five days a week in the office. ➔ A work from almost anywhere policy that allows employees to work from their place of choice up to four weeks per year.
Family benefits: ➔ 12 weeks of paid parental leave within the first year of birth/adoption
Building and supporting our community is at the heart of our values. We've developed our Ikigai.AI program (AI for good) to support the community and encourage our employees to give back to the causes they care about. We offer: ➔ Volunteering opportunities coordinated by our social responsibility team ➔ Additional paid time off to volunteer
➔ Technology stipend for WFH such as mobile, internet, and equipment reimbursement
➔ We regularly organise office happy hours in offices and virtual

Company HQ

125 West 25th Street, 7th Floor, New York, NY 10001, USA

Leadership

Clément Stenac

(CTO)

Previously worked at Exalead for 6 years, first as Software engineer for 3 years and then as Software Architect and Manager also for 3 years.

Florian Douetteau

(CEO)

Previously worked at Exalead for 11 years, holding various positions such as Director - Advanced Development, VP - Research and Technology and VP - Product Management.

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